scholarly journals Pengaruh Faktor Pendidikan, Konsumsi Protein, Konsumsi Kalori, dan Upah terhadap Indeks Pembangunan Manusia Bangsa Indonesia

Sosio e-kons ◽  
2017 ◽  
Vol 9 (1) ◽  
pp. 25
Author(s):  
Kiki Ismanti
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Secondary Data ◽  
Survey Method ◽  
Correlation Technique ◽  
Development Index ◽  
Calorie Consumption ◽  
Protein Consumption ◽  
The Government ◽  
The Relationship

<p class="m-8174230018953055268m-4086375879624236367gmail-msolistparagraph" align="center"><strong><em>ABSTRACT</em></strong><strong> </strong></p><p>This study is aimed to examine the effect of the relationship between education, protein consumption, calorie consumption, wages rate or income and human development index of Indonesia. The study uses data on the Human Development Index of Indonesia of 1994-2013. The object of this research is the discussion on the effect of the relationship of variables of education, protein consumption, calorie consumption, wages rate or income and the human development index. The researcher uses the survey method with the correlation technique as a method of sampling. In the data collection process, the researcher uses secondary data of 1994-2013, which are obtained from BPS-Statistics Indonesia by using documentation technique. The calculation result of final equation of estimation is ? = 45,992 + 0,215 X1 + -0,264 X2 + 4,156 X3 + 0,321 X4. The determinant coefficient is 98.9 percent, and the remaining 1.1 percent is affected by other variables. It means that the contribution of variables of education, protein consumption, calorie consumption, and wages rate or income on the human development index is 98.9 percent, and the remaining 1.1 percent is contributed from other independent variables outside of the research model. Based on the results of research, the minimum regression coefficient on the Human Development Index is a variable of protein consumption, which is only -0.264. Therefore, the Government of Indonesia is expected to formulate the policy that allows high accessibility of notorious foods, which contains adequate protein and calories for Indonesian people.</p><p class="m-8174230018953055268m-4086375879624236367gmail-msolistparagraph"><em> </em><em>Keywords: Education Factors</em><em>, Nutrition, Calorie Consumption, Level of Wages, and Index of </em><em>Quality of Life (IMH/HDI).</em></p><p align="center"><strong>ABSTRAK</strong></p><p>Tujuan dalam penelitian ini adalah untuk mengetahui pengaruh hubungan antara pendidikan, konsumsi protein, konsumsi kalori, dan upah dengan indeks pembangunan manusia Indonesia. penelitian ini menggunakan data tentang Indeks Pembangunan Manusia Bangsa Indonesia dari tahun 1994-2013. Objek penelitian ini adalah pembahasan tentang pengaruh hubungan variabel pendidikan, konsumsi protein, konsumsi kalori, dan upah dengan indeks pembangunan manusia. Penarikan sampel dilakukan dengan menggunakan metode survei dengan teknik korelasional. Untuk mendapatkan data peneliti menggunakan data skunder tahun 1994-2013, nilai yang diambil dari Biro Pusat Statistik dengan menggunakan teknik dokumentasi. Hasil perhitungan persamaan akhir estimasi yaitu ?= 45,992 + 0,215 X1 + -0,264 X2 + 4,156 X3+ 0,321 X4. Koefisien desterminan sebesar 98,9 persen sisanya 1,1 persen karena pengaruh variabel lain. Ini artinya sumbangan variabel pendidikan, konsumsi protein, konsumsi kalori, dan upah terhadap peningkatan indeks pembangunan manusia sebesar 98,9 persen  dan sisanya 1,1 persen dari variabel bebas lainnya diluar model penelitian. Dari hasil penelitian diperoleh koefisien regresi yang paling kecil terhadap Indeks Pembangunan Manusia adalah variabel konsumsi protein sebesar -0,264. Maka dari itu diharapkan kepada Pemerintah Indonesia harus membuat kebijakan yang dapat memberikan hak yang layak bagi rakyat Indonesia agar dapat menikmati pangan yang bergizi seperti protein dan kalori.</p><p>Kata kunci: Faktor Pendidikan, Gizi, Konsumsi Kalori, Upah, dan  Index Mutu Hidup (IMH/HDI)</p>

scholarly journals Pengaruh Investasi Pertambangan dan Tenaga Kerja terhadap Produk Domestik Regional Bruto serta Indeks Pembangunan Manusia di Kabupaten Kutai Barat

FORUM EKONOMI ◽  
2017 ◽  
Vol 19 (1) ◽  
pp. 92
Author(s):  
Yakin Masiku ◽  
Eny Rochaida ◽  
Adi Wijaya
Keyword(s):  
Path Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Secondary Data ◽  
Domestic Product ◽  
Regional Government ◽  
Domestic Investment ◽  
Development Index ◽  
Mining Investment ◽  
The Government

In accordance with the Regional Autonomy Policy, the Regional Government will not be able to perform its functions properly, effectively and efficiently without adequate funding support to provide services to the community and implement development programs. The financing of development in the area other than sourced from the government itself also exists that comes from the private sector through Domestic Investment with Mining Investment which is certainly enough to contribute in the formation of Gross Regional Domestic Product and Human Development Index in West Kutai Regency. So the role of mining investment is very large in order to support and optimize the success of development in the region. Therefore developing and optimizing Investment Cultivation becomes very important, in an effort to increase the growth of GDP and future HDI. The purpose of this study was to examine the influence of investment and labor on Gross Regional Domestic Product and Human Development Index in West Kutai District. Data used secondary data sourced from the Mining Service of West Kutai Regency and Central Bureau of Statistics Office of West Kutai Regency, Bappeda of West Kutai Regency and related Office.The method of  data collection with direct observation. Further data is processed and analyzed by Path Analysis (Path Analysis). The result of statistical test shows that partially Mining Investment has positive but not significant effect to PDRB and HDI, whereas the amount of Labor has positive and significant effect to the increasing of PDRB revenue in West Kutai Regency. While PDRB has a positive and significant impact on HDI in West Kutai Regency.Keywords: Human Development Index, Gross Regional DomesticProduct, Manpower, Mining Investment

scholarly journals CORRELATION BETWEEN ENVIRONMENTAL FACTORS AND THE HUMAN DEVELOPMENT INDEX IN EAST JAVA IN 2019

2021 ◽  
Vol 10 (2) ◽  
pp. 122
Author(s):  
Nadiyah Firdaus ◽  
Airil Haimi Mohd Adnan
Keyword(s):  
Public Health ◽  
Drinking Water ◽  
Environmental Factors ◽  
Human Development ◽  
Human Development Index ◽  
Pearson Correlation ◽  
Secondary Data ◽  
P Value ◽  
Development Index ◽  
The Relationship

Public health is influenced by environmental factors. The success of public health development can be seen from the Human Development Index (HDI). This research aims to analyze the relationship between environmental factors and the HDI in East Java in 2019. This research analyzed secondary data obtained from the East Java Provincial Health Office and published on the website of the Central Bureau of Statistics. Health Profile data in 2018 and the Human Development Index data in 2019 were used. This study used total sampling and selected all districts/cities in East Java (38 districts/cities). The Shapiro Wilk test (a sample of less than 50) was chosen to analyze the normality of the data and a Pearson correlation test was conducted to investigate the relationship between each variable. Based on our Pearson correlation analysis, we found several relationships between each variable. This study found that there is a relationship between access to decent drinking water and the HDI, as well as qualified latrines with the HDI, both with p-values of 0.000. Relationships were also found for healthy homes with the HDI with the p-value of 0.004, as well as qualified public places with the HDI with the p-value of 0.003. Finally, we found that there was no relationship between decent drinking water quality the HDI with a p-value of 0.821.

scholarly journals Faktor yang Memengaruhi Kemiskinan di Provinsi Jawa Timur Tahun 2014

2018 ◽  
Vol 6 (2) ◽  
pp. 136
Author(s):  
Salihati Hanifa ◽  
Arief Wibowo
Keyword(s):  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Poor People ◽  
Development Index ◽  
Publication Data ◽  
The Government

Indonesia is one of the developing countries that still experience classic problems such as poverty. Poverty is a classic multidimensional problem, because it is caused by various factors such as Open Unemployment Rate (OUR), percentage of contraception’s user and Human Development Index (HDI). This study aims to analyze determine the effect of Open Unemployment Rate (OUR), percentage of contraception’s user and Human Development Index (HDI) on the percentage of poor people in East Java. This study uses unobtrusive method and uses secondary data in the form of publication data of Badan Pusat Statistik (BPS) of East Java Province. The unit of analysis in this study is 38 districts/cities in East Java. The dependent variable in this study is the percentage of poor people in East Java Province, while the independent variables are Open Unemployment Rate (OUR), percentage of contraception’s user and Human Development Index (HDI). The result based on multiple linear regression analysis shows that the factors can influence the percentage of poor people are percentage of contraception’s user (p = 0.015) and HDI (p = 0.000). The government is expected to evaluate the programs that have been implemented and related to poverty alleviation.

scholarly journals Social and Economic Factors Determining the Unemployment Rate in the Bregasmalang Region 2010-2020

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Rima Eka Kurnia ◽  
Yustirania Septiani
Keyword(s):  
Human Development ◽  
Minimum Wage ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Domestic Product ◽  
Economic Factors ◽  
Development Index ◽  
The Government

The research objective was to analyze the social and economic factors that affect unemployment in the development area of Central Java, namely in Brebes Regency, Tegal City, Tegal Regency, and Pemalang Regency (BREGASMALANG) in 2010-2020. The determinants of unemployment used in this study include the human development index, district/city minimum wage, and gross regional domestic product. The data used in this study are secondary data obtained from the Central Statistics Agency (BPS). The research method used in Panel Data Regression Analysis with Fixed Effect Model (FEM). The result of this study indicates that the human development index & district/city minimum wage it means that it has no significant effect on the open unemployment rate in Bregasmalang. Meanwhile, the gross regional domestic product has a negative and significant effect on the open unemployment rate in Bregasmalang. With the influence of regional gross domestic product on the open unemployment rate, therefore the government is expected to be able to maximize the sub-sectors contained in the GRDP so that the sub-sector is able to increase employment so that it can suppress the high unemployment rate in the Regency/City concerned, namely the Brebes Regency, Tegal City, Tegal Regency, and Pemalang Regency.Keywords: Open Unemployment Rate, HDI, District/City Minimum Wages, and GRDP

scholarly journals PENGARUH KUALITAS SUMBER DAYA MANUSIA TERHADAP TINGKAT KRIMINALITAS DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 653
Author(s):  
Ryan Pratama Audey ◽  
Ariusni Ariusni
Keyword(s):  
Population Density ◽  
Human Development ◽  
Human Development Index ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Criminal Offenders ◽  
Development Index ◽  
Effect Model ◽  
The Government

This study aims to analyze the effect of factor (X1) on human development index, (X2) unemployment, (X3) population density on crime, in Indonesia. This type of research is descriptive and associative. Data type is secondary data. This study uses panel data with 31 provinces in Indonesia using the Fixed Effect Model (FEM) approach. The results of the study show that (1) the human development index has a significant effect on crime. (2) Unemployment does not have a significant effect on crime. (3) Population density has a significant effect on criminality (4) Taken together there is a significant influence between the human development index, unemployment and population density on crime in Indonesia. Therefore, the government and the authorities are expected to disseminate information to the community about the laws and regulations on criminal offenders and the need to improve education as an effort to improve the quality of Indonesian human resources.

What Does Human Development Index Rating Mean in Terms of Individualism/Collectivism?

2003 ◽  
Vol 8 (2) ◽  
pp. 97-100 ◽  
Author(s):  
Maria José Sotelo ◽  
Luis Gimeno
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Principal Component ◽  
General Idea ◽  
Development Index ◽  
Low Levels ◽  
The Relationship

The authors explore an alternative way of analyzing the relationship between human development and individualism. The method is based on the first principal component of Hofstede's individualism index in the Human Development Index rating domain. Results suggest that the general idea that greater wealth brings more individualism is only true for countries with high levels of development, while for middle or low levels of development the inverse is true.

Capaian pembangunan manusia: analisis komparatif Provinsi Banten, Jawa Barat dan DKI Jakarta

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Adriwati Adriwati
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Human Population ◽  
Provincial Government ◽  
Healthy Life ◽  
Development Index ◽  
Long Life ◽  
The Difference ◽  
The Government ◽  
Development Paradigm

Human development is a development paradigm that puts human (population) as the focus and final target of all development activities, namely the achievement of control over resources (income to achieve decent living), improvement of health status (long life and healthy life) and improve education. To see the success rate of human development, UNDP publishes an indicator of Human Development Index (HDI). This study discusses the achievements of human development that have been pursued by the government. The problem analyzed in this research is the difference of human development achievement in some provincial government in Indonesia. This paper aims to compare the achievements of human development in some provincial governments seen from the achievement of human development index of each province. Research location in Banten Province, West Java and DKI Jakarta.Keywords:Human Development Index, Human Development Achievement

The Relationship between Human Development and Economic Growth

2018 ◽  
Author(s):  
Frances Stewart ◽  
Gustav Ranis ◽  
Emma Samman
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Econometric Analysis ◽  
Complementary Relationship ◽  
Development Index ◽  
The Relationship ◽  
Intervening Variables

This chapter explores the interactions between economic growth and human development, as measured by the Human Development Index, theoretically and empirically. Drawing on many studies it explores the links in two chains, from economic growth to human development, and from human development to growth. Econometric analysis establishes strong links between economic growth and human development, and intervening variables influencing the strength of the chains. Because of the complementary relationship, putting emphasis on economic growth alone is not a long-term viable strategy, as growth is likely to be impeded by failure on human development. The chapter classifies country performance in four ways: virtuous cycles where both growth and human development are successful; vicious cycles where both are weak; and lopsided ones where the economy is strong but human development is weak, or conversely ones where human development is strong but the economy is weak.

Developmental Impacts of Remittances on Migrant-Sending Households: Micro-Level Evidence from Punjab, Pakistan

2019 ◽  
Vol 14 (3) ◽  
pp. 338-366
Author(s):  
Kashif Imran ◽  
Evelyn S. Devadason ◽  
Cheong Kee Cheok
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Quality Data ◽  
High Quality ◽  
High Quality Data ◽  
Development Index ◽  
Policy Interventions ◽  
Education And Health ◽  
Micro Level ◽  
The Government

This article analyzes the overall and type of developmental impacts of remittances for migrant-sending households (HHs) in districts of Punjab, Pakistan. For this purpose, an HH-based human development index is constructed based on the dimensions of education, health and housing, with a view to enrich insights into interactions between remittances and HH development. Using high-quality data from a HH micro-survey for Punjab, the study finds that most migrant-sending HHs are better off than the HHs without this stream of income. More importantly, migrant HHs have significantly higher development in terms of housing in most districts of Punjab relative to non-migrant HHs. Thus, the government would need policy interventions focusing on housing to address inequalities in human development at the district-HH level, and subsequently balance its current focus on the provision of education and health.

scholarly journals The relationship between the Municipal Human Development Index and rates of violent death in Brazilian Federal Units

2016 ◽  
Vol 26 (2) ◽  
pp. 211 ◽  
Author(s):  
Lylla Winzer
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Violent Death ◽  
Raw Data ◽  
Development Index ◽  
The Relationship

Because countries with the highest Human Development Index (HDI) have low rates of violence, it is common to assume that the increase of HDI may correspond with lower rates of violence in a country. This study examined the relationship between the Municipal Human Development Index (MHDI) and violent deaths in the Brazilian States between 1991 and 2010. We tested whether the increase of MHDI indirectly reduces violence or whether the reduction of violence predicts higher MHDI in later years. The raw data were obtained from three sources online, Atlasbrasil, IPEAdata and Map of violence. The analyses do not support the assumption that the increase of MHDI leads to a reduced level of violence. However, there are indications that the decrease of homicides over the years results in improved MHDI rates in 2010. The results suggest that taking measures aimed at development does not automatically imply a lower level of violence, but fi ghting against violence may increase MHDI.

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